Policy-Driven Distributed and Collaborative Demand Response in Multi-Domain Commercial Buildings
Enabling a sophisticated Demand Response (DR) framework, whereby individual consumers adapt their electricity consumption in response to price variations, is a major objective of the emerging Smart Grid. We first point out why the current model, of EMS-based centralized control of a static repositor...
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sg-smu-ink.sis_research-16642019-02-11T04:59:53Z Policy-Driven Distributed and Collaborative Demand Response in Multi-Domain Commercial Buildings MISRA, Archan SCHULZRINNE, Henning Enabling a sophisticated Demand Response (DR) framework, whereby individual consumers adapt their electricity consumption in response to price variations, is a major objective of the emerging Smart Grid. We first point out why the current model, of EMS-based centralized control of a static repository of high load appliances, is inappropriate for supporting DR in future commercial buildings and campuses, where the consuming appliances are controlled by multiple users. To enable DR in such multi-domain environments, we envision a more collaborative and autonomous model, where a large set of heterogeneous smart electrical devices autonomously self-organize and negotiate their collective DR. Enabling this vision requires the development of new networking primitives for autonomic, hierarchical overlay formation, new energy profiles that can represent aggregate characteristics of groups of devices and new hierarchical distributed optimization techniques. 2010-04-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/665 info:doi/10.1145/1791314.1791332 https://ink.library.smu.edu.sg/context/sis_research/article/1664/viewcontent/p119_misra.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Numerical Analysis and Scientific Computing Software Engineering |
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Numerical Analysis and Scientific Computing Software Engineering MISRA, Archan SCHULZRINNE, Henning Policy-Driven Distributed and Collaborative Demand Response in Multi-Domain Commercial Buildings |
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Enabling a sophisticated Demand Response (DR) framework, whereby individual consumers adapt their electricity consumption in response to price variations, is a major objective of the emerging Smart Grid. We first point out why the current model, of EMS-based centralized control of a static repository of high load appliances, is inappropriate for supporting DR in future commercial buildings and campuses, where the consuming appliances are controlled by multiple users. To enable DR in such multi-domain environments, we envision a more collaborative and autonomous model, where a large set of heterogeneous smart electrical devices autonomously self-organize and negotiate their collective DR. Enabling this vision requires the development of new networking primitives for autonomic, hierarchical overlay formation, new energy profiles that can represent aggregate characteristics of groups of devices and new hierarchical distributed optimization techniques. |
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text |
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MISRA, Archan SCHULZRINNE, Henning |
author_facet |
MISRA, Archan SCHULZRINNE, Henning |
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MISRA, Archan |
title |
Policy-Driven Distributed and Collaborative Demand Response in Multi-Domain Commercial Buildings |
title_short |
Policy-Driven Distributed and Collaborative Demand Response in Multi-Domain Commercial Buildings |
title_full |
Policy-Driven Distributed and Collaborative Demand Response in Multi-Domain Commercial Buildings |
title_fullStr |
Policy-Driven Distributed and Collaborative Demand Response in Multi-Domain Commercial Buildings |
title_full_unstemmed |
Policy-Driven Distributed and Collaborative Demand Response in Multi-Domain Commercial Buildings |
title_sort |
policy-driven distributed and collaborative demand response in multi-domain commercial buildings |
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Institutional Knowledge at Singapore Management University |
publishDate |
2010 |
url |
https://ink.library.smu.edu.sg/sis_research/665 https://ink.library.smu.edu.sg/context/sis_research/article/1664/viewcontent/p119_misra.pdf |
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